Software Engineer

Job Description

About the Role

We’re building a next-generation Fleet Operations Platform to power large-scale vehicle networks: integrating ride-share systems, IoT telemetry, real-time data pipelines, and AI-driven optimization.

This role is heavily focused on backend system design and large-scale distributed architecture, not just building CRUD APIs.

You’ll work on:

High-throughput telematics ingestion (GPS, sensors, diagnostics)

Distributed, event-driven systems at scale

Optimization engines for dispatch, routing, and revenue

AI-native workflows powered by modern LLMs

Responsibilities

Design and build scalable backend services for fleet operations

Architect event-driven systems (Kafka / Pulsar)

Develop real-time data pipelines (IoT + telemetry ingestion)

Implement optimization algorithms (routing, scheduling, matching)

Work closely with Data/ML engineers on prediction + optimization systems

Own services end-to-end (design build deploy operate)

Integrate external APIs (rideshare networks, telematics providers)

Ensure high reliability, observability, and performance

AI-Native Engineering (Required)

We are an AI-native engineering team.

You are expected to:

Use Claude, Codex, Gemini in daily development workflows

Apply AI for:

Code generation & refactoring

Debugging distributed systems

System design exploration

Build systems that are AI-augmented by design

Technical Stack

Backend & Core Systems

Kotlin / Java (Micronaut)

Python (for ML services, data processing, and optimization)

Data & Streaming

PostgreSQL, Redis

Kafka or Pulsar

Flink / Spark (stream + batch processing)

Infrastructure

AWS (EKS, S3, RDS, etc.)

Kubernetes (K8s)

Docker

Infrastructure as Code (Terraform is a plus)

What We’re Looking For

Core Requirements

2+ years building backend or distributed systems

Strong experience with:

Event-driven architecture

High-throughput / real-time systems

API design & integrations

Problem Solving & Algorithms

You should be strong in:

Data structures & algorithms

System design & tradeoffs

Bonus if you have experience with:

Graph algorithms (routing, shortest path)

Scheduling / matching systems

Optimization problems (greedy, DP, heuristics)

Systems Thinking

Deep understanding of:

Consistency vs availability

Latency vs throughput

Horizontal scaling

Ability to design systems from 0 1 and scale

Nice to Have

Experience with IoT / telemetry systems

Background in rideshare, logistics, or mobility

Exposure to ML systems or data pipelines

Experience with Flink or real-time stream processing

Experience deploying systems on Kubernetes (EKS)

What Makes This Role Different

Real-world high-scale distributed systems

Strong focus on algorithms + optimization

AI is core to engineering workflow

Opportunity to shape architecture from early stage

Work with a top-tier, high-bar engineering team

Compensation

Competitive (based on location & experience)

High ownership and impact

Long-term growth with a scaling platform

How to Stand Out

Show systems you’ve built (not just features)

Demonstrate strong problem-solving ability

Highlight experience with:

Distributed systems at scale

Optimization / algorithmic problems

Real-time data pipelines

Full-time